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Patent Agency Ranking
公开(公告)号：US20220073103A1
公开(公告)日：2022-03-10
申请号：US17469276
申请日：2021-09-08
Inventor： Kyoung Hwan AN
Abstract: The present invention relates to a metacognition-based autonomous driving correction device for an autonomous driving system. The autonomous driving correction device includes a driving situation recognition/driving behavior-based determination unit which determines metacognition with respect to a front object recognized during autonomous driving using driving environment recognition information acquired through a vehicle sensor unit and corrects a global route or a local route so as to correspond to selection correction information selected after metacognition is determined, and a driving situation recognition/driving behavior correction terminal unit which outputs pieces of candidate correction information when a driving situation of the front object is determined to correspond to metacognition and then provides the selection correction information selected from among the pieces of output candidate correction information by a driver to the driving situation recognition/driving behavior-based determination unit.
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公开(公告)号：US20240087225A1
公开(公告)日：2024-03-14
申请号：US18367590
申请日：2023-09-13
Inventor： JinWoo KIM , Ki Tae KIM , MyungWook PARK , Kyoung Hwan AN , Jeong Dan CHOI
CPC classification number: G06T17/05 , G06T3/0093 , G06T7/20 , G06T7/50 , G06V10/44 , G06V20/52 , G06V20/58 , G06T2207/10028 , G06V2201/07
Abstract: The interaction system includes: an infrastructure image sensor-based 3D cloud restoration module configured to create a 3D cloud point using a multi-view image received from an infrastructure sensor; a real-time 3D map creation and learning update module configured to generate subset data composed of point clouds into a 3D map using 3D point information received from the infrastructure image sensor-based 3D cloud restoration module; an object estimation module in a 3D space configured to recognize and track an object existing in a 3D space based on the 3D map received from the real-time 3D map creation and learning update module; and a dangerous situation recognition and interaction module in space configured to receive information on an object existing in the 3D space from the object estimation module in the 3D space, recognize a dangerous situation, and provide dangerous situation related information.
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3.发明申请VEHICLE AUTONOMOUS TRAVELING SYSTEM, AND VEHICLE TRAVELING METHOD USING THE SAME 审中-公开车辆自动行驶系统及使用其的车辆行驶方法公开(公告)号：US20160138924A1
公开(公告)日：2016-05-19
申请号：US14656172
申请日：2015-03-12
Inventor： Kyoung Hwan AN
CPC classification number: G01C21/34
Abstract: Disclosed are a vehicle autonomous traveling system and a vehicle traveling method using the same. The vehicle autonomous traveling system includes a vehicle navigation device that plans a driver global path to a destination by acquiring a location of a vehicle, and guides a path in accordance with the planned driver global path, an autonomous traveling path providing unit that recognizes a road environment while planning a detailed global path by mapping a partial detailed path of a lane level based on the driver global path, determines a traveling condition based on the detailed global path and the recognized road environment, and outputs vehicle traveling information for controlling the vehicle, and an autonomous traveling operation unit that receives the vehicle traveling information, and performs autonomous traveling of the vehicle by following a path included in the vehicle traveling information.
Abstract translation: 公开了一种车辆自主行驶系统和使用其的车辆行驶方法。 车辆自主行驶系统包括车辆导航装置，其通过获取车辆的位置来计划到目的地的驾驶员全局路径，并且根据所计划的驾驶员全局路径引导路径，识别道路的自主旅行路径提供单元 环境，同时通过基于驾驶员全局路径映射车道级的部分详细路径来规划详细的全局路径，基于详细的全局路径和公认的道路环境来确定行驶状况，并输出用于控制车辆的车辆行驶信息， 以及自动行驶操作单元，其接收车辆行驶信息，并且通过跟随车辆行驶信息中包括的路径来执行车辆的自主行驶。
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4.发明公开公开(公告)号：US20230174102A1
公开(公告)日：2023-06-08
申请号：US17984470
申请日：2022-11-10
Inventor： Kyoung Hwan AN
CPC classification number: B60W60/0011 , G01C21/3415
Abstract: Disclosed herein high definition map abnormality inference and corresponding driving method, device and mobility apparatus. The method includes: determining an abnormality of a high definition map applied to a mobility apparatus based on at least one of road information or surrounding object information recognized in driving of the mobility apparatus; determining whether exceptional object information recognized on a road is present; determining a road condition to be a temporary change situation and determining a first driving control process of the mobility apparatus corresponding to the temporary change situation, when the abnormality of the high definition map and exceptional object information are present; and determining the road condition to be a permanent change situation and determining a second driving control process corresponding to the permanent change situation, when the abnormality of the high definition map is present and the exceptional object information is not present.
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公开(公告)号：US20170221366A1
公开(公告)日：2017-08-03
申请号：US15405956
申请日：2017-01-13
Inventor： Kyoung Hwan AN , Woo Yong HAN
CPC classification number: G08G1/166 , G05D1/0088 , G05D2201/0213 , G08G1/07 , G08G1/09623 , G08G1/09626 , G08G1/096725 , G08G1/096758 , G08G1/096783 , G08G1/164
Abstract: Disclosed are an autonomous vehicle driving system and method that increase probability that a signal of a traffic light will be recognized by using map information built in an autonomous vehicle driving system and a traffic light infrastructure, determine which travel route is allowed according to a camera recognition result and signal information delivered through V2X communication (traveling is allowed from which entrance lane to which exit lane), and enable an autonomous driving vehicle and a traffic light infrastructure to exchange intersection passage route information in order to allow the autonomous driving vehicle to efficiently pass through an intersection.
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